Presented at The 6th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST)

Abstract

In order to produce visually appealing digital models of cultural heritage artefacts, a meticulous reconstruction of the 3D geometry alone is often not sufficient, as colour and reflectance information give essential clues of the object's material. Standard texturing methods are often only able to overcome this fact under strict
material and lighting condition limitations. The realistic reconstruction of complex yet frequently encountered materials such as fabric, leather, wood or metal is still a challenge. In this paper, we describe a novel system to acquire the 3D-geometry of an object using its visual hull, recorded in multiple 2D images with a multi-camera array. At the same time, the material properties of the object are measured into Bidirectional Texture Functions (BTF), that faithfully capture the mesostructure of the surface and reconstruct the look-and-feel of its material. The high rendering fidelity of the acquired BTF texture data with respect to reflectance and self-shadowing also alleviates the limited precision of the visual hull approach for 3D geometry acquisition.

Keywords: 3D scanning, BTF acquisition, cultural heritage

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Bibtex

@INPROCEEDINGS{mueller-2005-rapid,
author = {M{\"u}ller, Gero and Bendels, Gerhard H. and Klein, Reinhard},
pages = {13--20},
title = {Rapid Synchronous Acquisition of Geometry and BTF for Cultural Heritage Artefacts},
booktitle = {The 6th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST)},
year = {2005},
month = nov,
publisher = {Eurographics Association},
organization = {Eurographics Association},
keywords = {3D scanning, BTF acquisition, cultural heritage},
abstract = {In order to produce visually appealing digital models of cultural heritage artefacts, a meticulous
reconstruction of the 3D geometry alone is often not sufficient, as colour and reflectance
information give essential clues of the object's material. Standard texturing methods are often only
able to overcome this fact under strict
material and lighting condition limitations. The realistic reconstruction of complex yet frequently
encountered materials such as fabric, leather, wood or metal is still a challenge. In this paper, we
describe a novel system to acquire the 3D-geometry of an object using its visual hull, recorded in
multiple 2D images with a multi-camera array. At the same time, the material properties of the
object are measured into Bidirectional Texture Functions (BTF), that faithfully capture the
mesostructure of the surface and reconstruct the look-and-feel of its material. The high rendering
fidelity of the acquired BTF texture data with respect to reflectance and self-shadowing also
alleviates the limited precision of the visual hull approach for 3D geometry acquisition.},
conference = {The 6th International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST)}
}